Overview

Dataset statistics

Number of variables45
Number of observations19635
Missing cells54421
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 MiB
Average record size in memory360.0 B

Variable types

NUM26
CAT15
BOOL4

Warnings

requires_license has constant value "19635" Constant
zipcode has a high cardinality: 7053 distinct values High cardinality
amenities has a high cardinality: 18910 distinct values High cardinality
price has a high cardinality: 448 distinct values High cardinality
security_deposit has a high cardinality: 145 distinct values High cardinality
cleaning_fee has a high cardinality: 109 distinct values High cardinality
extra_people has a high cardinality: 105 distinct values High cardinality
calendar_updated has a high cardinality: 81 distinct values High cardinality
first_review has a high cardinality: 2449 distinct values High cardinality
last_review has a high cardinality: 1552 distinct values High cardinality
availability_60 is highly correlated with availability_30 and 1 other fieldsHigh correlation
availability_30 is highly correlated with availability_60 and 1 other fieldsHigh correlation
availability_90 is highly correlated with availability_30 and 1 other fieldsHigh correlation
reviews_per_month is highly correlated with number_of_reviews_ltmHigh correlation
number_of_reviews_ltm is highly correlated with reviews_per_monthHigh correlation
neighbourhood has 782 (4.0%) missing values Missing
zipcode has 785 (4.0%) missing values Missing
square_feet has 19282 (98.2%) missing values Missing
security_deposit has 5791 (29.5%) missing values Missing
cleaning_fee has 3483 (17.7%) missing values Missing
first_review has 2253 (11.5%) missing values Missing
last_review has 2253 (11.5%) missing values Missing
review_scores_rating has 2478 (12.6%) missing values Missing
review_scores_accuracy has 2489 (12.7%) missing values Missing
review_scores_cleanliness has 2487 (12.7%) missing values Missing
review_scores_checkin has 2497 (12.7%) missing values Missing
review_scores_communication has 2489 (12.7%) missing values Missing
review_scores_location has 2495 (12.7%) missing values Missing
review_scores_value has 2495 (12.7%) missing values Missing
reviews_per_month has 2253 (11.5%) missing values Missing
minimum_nights is highly skewed (γ1 = 49.22046326) Skewed
amenities is uniformly distributed Uniform
id has unique values Unique
bedrooms has 1041 (5.3%) zeros Zeros
beds has 359 (1.8%) zeros Zeros
availability_30 has 13283 (67.6%) zeros Zeros
availability_60 has 12138 (61.8%) zeros Zeros
availability_90 has 11742 (59.8%) zeros Zeros
availability_365 has 10627 (54.1%) zeros Zeros
number_of_reviews has 2253 (11.5%) zeros Zeros
number_of_reviews_ltm has 8040 (40.9%) zeros Zeros

Reproduction

Analysis started2020-10-29 21:12:07.827378
Analysis finished2020-10-29 21:13:26.108374
Duration1 minute and 18.28 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

id
Real number (ℝ≥0)

UNIQUE

Distinct19635
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19699441.53
Minimum2818
Maximum42889614
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:26.207382image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2818
5-th percentile1744939.6
Q19831484
median18733799
Q328970512.5
95-th percentile40525991
Maximum42889614
Range42886796
Interquartile range (IQR)19139028.5

Descriptive statistics

Standard deviation11989897.17
Coefficient of variation (CV)0.6086414761
Kurtosis-0.9867004527
Mean19699441.53
Median Absolute Deviation (MAD)9395000
Skewness0.2482763283
Sum3.867985345e+11
Variance1.437576342e+14
MonotocityStrictly increasing
2020-10-29T17:13:26.323018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
190750701< 0.1%
 
232606521< 0.1%
 
131139741< 0.1%
 
85797041< 0.1%
 
38652101< 0.1%
 
360559711< 0.1%
 
77236461< 0.1%
 
65333061< 0.1%
 
238782091< 0.1%
 
216531431< 0.1%
 
Other values (19625)1962599.9%
 
ValueCountFrequency (%) 
28181< 0.1%
 
201681< 0.1%
 
254281< 0.1%
 
278861< 0.1%
 
288711< 0.1%
 
ValueCountFrequency (%) 
428896141< 0.1%
 
428890011< 0.1%
 
428887591< 0.1%
 
428884201< 0.1%
 
428864321< 0.1%
 

host_id
Real number (ℝ≥0)

Distinct17178
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62441308.93
Minimum3159
Maximum341514376
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:26.446160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum3159
5-th percentile2095019.7
Q19054947
median26910781
Q382729966.5
95-th percentile248291048.4
Maximum341514376
Range341511217
Interquartile range (IQR)73675019.5

Descriptive statistics

Standard deviation78715726.66
Coefficient of variation (CV)1.260635435
Kurtosis2.144687818
Mean62441308.93
Median Absolute Deviation (MAD)22116668
Skewness1.71144381
Sum1.226035101e+12
Variance6.196165624e+15
MonotocityNot monotonic
2020-10-29T17:13:26.565330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1464510390.2%
 
7594884370.2%
 
65859990350.2%
 
14874061310.2%
 
2856748260.1%
 
113977564240.1%
 
76104209210.1%
 
44168250210.1%
 
203731852190.1%
 
107745142180.1%
 
Other values (17168)1936498.6%
 
ValueCountFrequency (%) 
31591< 0.1%
 
35921< 0.1%
 
79241< 0.1%
 
120851< 0.1%
 
303901< 0.1%
 
ValueCountFrequency (%) 
3415143761< 0.1%
 
3415108861< 0.1%
 
3414839591< 0.1%
 
3414327441< 0.1%
 
3412966591< 0.1%
 

neighbourhood
Categorical

MISSING

Distinct44
Distinct (%)0.2%
Missing782
Missing (%)4.0%
Memory size153.4 KiB
Oud-West
3225 
Oud-Zuid
1751 
Bos en Lommer
1166 
Grachtengordel
1148 
Indische Buurt
 
1009
Other values (39)
10554 
ValueCountFrequency (%) 
Oud-West322516.4%
 
Oud-Zuid17518.9%
 
Bos en Lommer11665.9%
 
Grachtengordel11485.8%
 
Indische Buurt10095.1%
 
Oosterparkbuurt9654.9%
 
Jordaan9144.7%
 
Frederik Hendrikbuurt9104.6%
 
De Pijp9014.6%
 
Rivierenbuurt7283.7%
 
Other values (34)613631.3%
 
(Missing)7824.0%
 
2020-10-29T17:13:26.700410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-29T17:13:26.812270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length13
Mean length12.249096
Min length3

zipcode
Categorical

HIGH CARDINALITY
MISSING

Distinct7053
Distinct (%)37.4%
Missing785
Missing (%)4.0%
Memory size153.4 KiB
1054
 
291
1055
 
270
1056
 
207
1053
 
203
1057
 
190
Other values (7048)
17689 
ValueCountFrequency (%) 
10542911.5%
 
10552701.4%
 
10562071.1%
 
10532031.0%
 
10571901.0%
 
10721800.9%
 
10171760.9%
 
10581730.9%
 
10521650.8%
 
10941600.8%
 
Other values (7043)1683585.7%
 
(Missing)7854.0%
 
2020-10-29T17:13:26.945303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3853 ?
Unique (%)20.4%
2020-10-29T17:13:27.066388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length16
Median length7
Mean length6.049554367
Min length1

latitude
Real number (ℝ≥0)

Distinct6050
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.36535482
Minimum52.28927
Maximum52.42699
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:27.172052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum52.28927
5-th percentile52.342434
Q152.35511
median52.3647
Q352.37525
95-th percentile52.391103
Maximum52.42699
Range0.13772
Interquartile range (IQR)0.02014

Descriptive statistics

Standard deviation0.01644307032
Coefficient of variation (CV)0.0003140066629
Kurtosis2.146726369
Mean52.36535482
Median Absolute Deviation (MAD)0.00998
Skewness-0.1301925898
Sum1028193.742
Variance0.0002703745614
MonotocityNot monotonic
2020-10-29T17:13:27.286962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
52.37003160.1%
 
52.36213150.1%
 
52.36495140.1%
 
52.36096140.1%
 
52.36537130.1%
 
52.35477130.1%
 
52.36376130.1%
 
52.35638120.1%
 
52.36637120.1%
 
52.35555120.1%
 
Other values (6040)1950199.3%
 
ValueCountFrequency (%) 
52.289271< 0.1%
 
52.289541< 0.1%
 
52.289651< 0.1%
 
52.290221< 0.1%
 
52.290311< 0.1%
 
ValueCountFrequency (%) 
52.426991< 0.1%
 
52.425121< 0.1%
 
52.425091< 0.1%
 
52.424711< 0.1%
 
52.424521< 0.1%
 

longitude
Real number (ℝ≥0)

Distinct9880
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.889667804
Minimum4.75237
Maximum5.02769
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:27.408602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum4.75237
5-th percentile4.844092
Q14.863875
median4.88725
Q34.909325
95-th percentile4.948076
Maximum5.02769
Range0.27532
Interquartile range (IQR)0.04545

Descriptive statistics

Standard deviation0.03607320963
Coefficient of variation (CV)0.00737743566
Kurtosis1.050792712
Mean4.889667804
Median Absolute Deviation (MAD)0.02277
Skewness0.5233471282
Sum96008.62733
Variance0.001301276453
MonotocityNot monotonic
2020-10-29T17:13:27.519476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4.89635120.1%
 
4.87467120.1%
 
4.85967100.1%
 
4.874439< 0.1%
 
4.907199< 0.1%
 
4.888578< 0.1%
 
4.873448< 0.1%
 
4.885898< 0.1%
 
4.86128< 0.1%
 
4.880998< 0.1%
 
Other values (9870)1954399.5%
 
ValueCountFrequency (%) 
4.752371< 0.1%
 
4.755721< 0.1%
 
4.755941< 0.1%
 
4.759431< 0.1%
 
4.763261< 0.1%
 
ValueCountFrequency (%) 
5.027691< 0.1%
 
5.02671< 0.1%
 
5.01841< 0.1%
 
5.01831< 0.1%
 
5.018061< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
t
13836 
f
5799 
ValueCountFrequency (%) 
t1383670.5%
 
f579929.5%
 
2020-10-29T17:13:27.600502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

property_type
Categorical

Distinct35
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
Apartment
14890 
House
1659 
Townhouse
 
673
Bed and breakfast
 
395
Loft
 
379
Other values (30)
1639 
ValueCountFrequency (%) 
Apartment1489075.8%
 
House16598.4%
 
Townhouse6733.4%
 
Bed and breakfast3952.0%
 
Loft3791.9%
 
Condominium3511.8%
 
Boat3341.7%
 
Houseboat3201.6%
 
Guest suite1540.8%
 
Aparthotel1130.6%
 
Other values (25)3671.9%
 
2020-10-29T17:13:27.685233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)< 0.1%
2020-10-29T17:13:27.803033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length9
Mean length8.709345556
Min length3

room_type
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
Entire home/apt
15313 
Private room
4006 
Hotel room
 
265
Shared room
 
51
ValueCountFrequency (%) 
Entire home/apt1531378.0%
 
Private room400620.4%
 
Hotel room2651.3%
 
Shared room510.3%
 
2020-10-29T17:13:27.914457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-29T17:13:27.984405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:28.069293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length15
Median length15
Mean length14.31005857
Min length10

accommodates
Real number (ℝ≥0)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.860860708
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:28.152476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q34
95-th percentile4
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.293369986
Coefficient of variation (CV)0.4520912125
Kurtosis19.19604452
Mean2.860860708
Median Absolute Deviation (MAD)0
Skewness2.724111695
Sum56173
Variance1.672805921
MonotocityNot monotonic
2020-10-29T17:13:28.232171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
21073654.7%
 
4598530.5%
 
315187.7%
 
14912.5%
 
53651.9%
 
63641.9%
 
8600.3%
 
7520.3%
 
16300.2%
 
12150.1%
 
Other values (5)190.1%
 
ValueCountFrequency (%) 
14912.5%
 
21073654.7%
 
315187.7%
 
4598530.5%
 
53651.9%
 
ValueCountFrequency (%) 
16300.2%
 
143< 0.1%
 
132< 0.1%
 
12150.1%
 
111< 0.1%
 

bathrooms
Real number (ℝ≥0)

Distinct13
Distinct (%)0.1%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.191731622
Minimum0
Maximum8
Zeros37
Zeros (%)0.2%
Memory size153.4 KiB
2020-10-29T17:13:28.319765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31.5
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.39255529
Coefficient of variation (CV)0.3293990718
Kurtosis19.65937222
Mean1.191731622
Median Absolute Deviation (MAD)0
Skewness3.091234346
Sum23392.5
Variance0.1540996557
MonotocityNot monotonic
2020-10-29T17:13:28.404508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
11399071.3%
 
1.5415421.2%
 
29054.6%
 
2.52741.4%
 
31060.5%
 
0.5790.4%
 
3.5600.3%
 
0370.2%
 
4150.1%
 
4.55< 0.1%
 
Other values (3)4< 0.1%
 
(Missing)6< 0.1%
 
ValueCountFrequency (%) 
0370.2%
 
0.5790.4%
 
11399071.3%
 
1.5415421.2%
 
29054.6%
 
ValueCountFrequency (%) 
82< 0.1%
 
5.51< 0.1%
 
51< 0.1%
 
4.55< 0.1%
 
4150.1%
 

bedrooms
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.1%
Missing19
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.453456362
Minimum0
Maximum12
Zeros1041
Zeros (%)5.3%
Memory size153.4 KiB
2020-10-29T17:13:28.491223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8926443589
Coefficient of variation (CV)0.6141528443
Kurtosis10.35039294
Mean1.453456362
Median Absolute Deviation (MAD)0
Skewness1.963423724
Sum28511
Variance0.7968139515
MonotocityNot monotonic
2020-10-29T17:13:28.578960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
11166359.4%
 
2469123.9%
 
316348.3%
 
010415.3%
 
44762.4%
 
5780.4%
 
6120.1%
 
86< 0.1%
 
126< 0.1%
 
73< 0.1%
 
Other values (2)6< 0.1%
 
(Missing)190.1%
 
ValueCountFrequency (%) 
010415.3%
 
11166359.4%
 
2469123.9%
 
316348.3%
 
44762.4%
 
ValueCountFrequency (%) 
126< 0.1%
 
103< 0.1%
 
93< 0.1%
 
86< 0.1%
 
73< 0.1%
 

beds
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)0.1%
Missing84
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.777249246
Minimum0
Maximum32
Zeros359
Zeros (%)1.8%
Memory size153.4 KiB
2020-10-29T17:13:28.670063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum32
Range32
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.40995584
Coefficient of variation (CV)0.7933360184
Kurtosis93.74949546
Mean1.777249246
Median Absolute Deviation (MAD)0
Skewness6.300651488
Sum34747
Variance1.987975471
MonotocityNot monotonic
2020-10-29T17:13:28.759174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
11061754.1%
 
2494425.2%
 
318219.3%
 
411916.1%
 
03591.8%
 
53331.7%
 
61800.9%
 
8300.2%
 
7270.1%
 
127< 0.1%
 
Other values (15)420.2%
 
(Missing)840.4%
 
ValueCountFrequency (%) 
03591.8%
 
11061754.1%
 
2494425.2%
 
318219.3%
 
411916.1%
 
ValueCountFrequency (%) 
325< 0.1%
 
301< 0.1%
 
261< 0.1%
 
243< 0.1%
 
221< 0.1%
 

bed_type
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
Real Bed
19482 
Pull-out Sofa
 
102
Futon
 
33
Airbed
 
13
Couch
 
5
ValueCountFrequency (%) 
Real Bed1948299.2%
 
Pull-out Sofa1020.5%
 
Futon330.2%
 
Airbed130.1%
 
Couch5< 0.1%
 
2020-10-29T17:13:28.866348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-29T17:13:28.937218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:29.031327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length13
Median length8
Mean length8.018843901
Min length5

amenities
Categorical

HIGH CARDINALITY
UNIFORM

Distinct18910
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
{"translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50"}
 
25
{}
 
18
{TV,Wifi,Kitchen,Heating,"Smoke detector","Carbon monoxide detector","First aid kit","Safety card","Fire extinguisher",Essentials,Hangers,"Laptop friendly workspace","Hot water","Bed linens"}
 
17
{"Family/kid friendly","translation missing: en.hosting_amenity_50"}
 
10
{Internet,Wifi,Heating,"Smoke detector",Hangers,"Self check-in","Building staff","Outlet covers"}
 
8
Other values (18905)
19557 
ValueCountFrequency (%) 
{"translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50"}250.1%
 
{}180.1%
 
{TV,Wifi,Kitchen,Heating,"Smoke detector","Carbon monoxide detector","First aid kit","Safety card","Fire extinguisher",Essentials,Hangers,"Laptop friendly workspace","Hot water","Bed linens"}170.1%
 
{"Family/kid friendly","translation missing: en.hosting_amenity_50"}100.1%
 
{Internet,Wifi,Heating,"Smoke detector",Hangers,"Self check-in","Building staff","Outlet covers"}8< 0.1%
 
{Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron}7< 0.1%
 
{TV,"Cable TV",Internet,Wifi,Kitchen,Heating,Washer,Essentials}7< 0.1%
 
{TV,"Cable TV",Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Private entrance",Bathtub,"Hot water","Bed linens","Extra pillows and blankets",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Luggage dropoff allowed","Long term stays allowed","Handheld shower head","Step-free shower"}6< 0.1%
 
{TV,Wifi,Kitchen,Heating,Washer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"}6< 0.1%
 
{Wifi,Kitchen,"Free parking on premises","Free street parking",Heating,Washer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Hot water","Bed linens","Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Host greets you"}6< 0.1%
 
Other values (18900)1952599.4%
 
2020-10-29T17:13:29.195125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18434 ?
Unique (%)93.9%
2020-10-29T17:13:29.328964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1073
Median length266
Mean length291.6818946
Min length2

square_feet
Real number (ℝ≥0)

MISSING

Distinct73
Distinct (%)20.7%
Missing19282
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean535.8470255
Minimum0
Maximum2691
Zeros105
Zeros (%)0.5%
Memory size153.4 KiB
2020-10-29T17:13:29.442323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median484
Q3807
95-th percentile1615
Maximum2691
Range2691
Interquartile range (IQR)807

Descriptive statistics

Standard deviation525.773596
Coefficient of variation (CV)0.981200923
Kurtosis0.9138105254
Mean535.8470255
Median Absolute Deviation (MAD)452
Skewness0.9926922079
Sum189154
Variance276437.8743
MonotocityNot monotonic
2020-10-29T17:13:29.558702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01050.5%
 
753200.1%
 
646140.1%
 
700140.1%
 
592120.1%
 
1076110.1%
 
1615100.1%
 
969100.1%
 
538100.1%
 
8619< 0.1%
 
Other values (63)1380.7%
 
(Missing)1928298.2%
 
ValueCountFrequency (%) 
01050.5%
 
81< 0.1%
 
281< 0.1%
 
321< 0.1%
 
501< 0.1%
 
ValueCountFrequency (%) 
26911< 0.1%
 
24221< 0.1%
 
21532< 0.1%
 
19383< 0.1%
 
18841< 0.1%
 

price
Categorical

HIGH CARDINALITY

Distinct448
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
$150.00
 
1324
$100.00
 
1023
$120.00
 
910
$200.00
 
798
$125.00
 
633
Other values (443)
14947 
ValueCountFrequency (%) 
$150.0013246.7%
 
$100.0010235.2%
 
$120.009104.6%
 
$200.007984.1%
 
$125.006333.2%
 
$250.005502.8%
 
$110.005042.6%
 
$80.004922.5%
 
$90.004912.5%
 
$130.004782.4%
 
Other values (438)1243263.3%
 
2020-10-29T17:13:29.690034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique116 ?
Unique (%)0.6%
2020-10-29T17:13:29.807239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length9
Median length7
Mean length6.752737459
Min length5

security_deposit
Categorical

HIGH CARDINALITY
MISSING

Distinct145
Distinct (%)1.0%
Missing5791
Missing (%)29.5%
Memory size153.4 KiB
$0.00
4586 
$250.00
1658 
$100.00
1418 
$200.00
1194 
$150.00
1169 
Other values (140)
3819 
ValueCountFrequency (%) 
$0.00458623.4%
 
$250.0016588.4%
 
$100.0014187.2%
 
$200.0011946.1%
 
$150.0011696.0%
 
$500.0010345.3%
 
$300.0010325.3%
 
$400.002901.5%
 
$1,000.002591.3%
 
$350.002371.2%
 
Other values (135)9674.9%
 
(Missing)579129.5%
 
2020-10-29T17:13:29.928759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique63 ?
Unique (%)0.5%
2020-10-29T17:13:30.033229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length9
Median length5
Mean length5.393684747
Min length3

cleaning_fee
Categorical

HIGH CARDINALITY
MISSING

Distinct109
Distinct (%)0.7%
Missing3483
Missing (%)17.7%
Memory size153.4 KiB
$50.00
2257 
$30.00
1708 
$40.00
1494 
$35.00
1419 
$25.00
1416 
Other values (104)
7858 
ValueCountFrequency (%) 
$50.00225711.5%
 
$30.0017088.7%
 
$40.0014947.6%
 
$35.0014197.2%
 
$25.0014167.2%
 
$45.0011706.0%
 
$0.0010915.6%
 
$20.0010115.1%
 
$60.007113.6%
 
$15.005522.8%
 
Other values (99)332316.9%
 
(Missing)348317.7%
 
2020-10-29T17:13:30.144677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%
2020-10-29T17:13:30.257459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length6
Mean length5.428163993
Min length3

guests_included
Real number (ℝ≥0)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.45592055
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:30.344218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum16
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9406498861
Coefficient of variation (CV)0.6460860011
Kurtosis52.23382339
Mean1.45592055
Median Absolute Deviation (MAD)0
Skewness5.048120687
Sum28587
Variance0.8848222082
MonotocityNot monotonic
2020-10-29T17:13:30.426472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
11355069.0%
 
2474424.2%
 
48584.4%
 
33151.6%
 
5700.4%
 
6560.3%
 
16130.1%
 
8110.1%
 
127< 0.1%
 
104< 0.1%
 
Other values (4)7< 0.1%
 
ValueCountFrequency (%) 
11355069.0%
 
2474424.2%
 
33151.6%
 
48584.4%
 
5700.4%
 
ValueCountFrequency (%) 
16130.1%
 
151< 0.1%
 
141< 0.1%
 
127< 0.1%
 
104< 0.1%
 

extra_people
Categorical

HIGH CARDINALITY

Distinct105
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
$0.00
13408 
$25.00
 
979
$50.00
 
766
$30.00
 
765
$20.00
 
720
Other values (100)
2997 
ValueCountFrequency (%) 
$0.001340868.3%
 
$25.009795.0%
 
$50.007663.9%
 
$30.007653.9%
 
$20.007203.7%
 
$15.004922.5%
 
$10.004472.3%
 
$40.003771.9%
 
$35.003671.9%
 
$45.001400.7%
 
Other values (95)11746.0%
 
2020-10-29T17:13:30.551223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%
2020-10-29T17:13:30.667405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length5
Mean length5.321415839
Min length5

minimum_nights
Real number (ℝ≥0)

SKEWED

Distinct63
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.494168577
Minimum1
Maximum1001
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:30.776906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile7
Maximum1001
Range1000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation15.11868782
Coefficient of variation (CV)4.326834122
Kurtosis3006.206697
Mean3.494168577
Median Absolute Deviation (MAD)1
Skewness49.22046326
Sum68608
Variance228.5747215
MonotocityNot monotonic
2020-10-29T17:13:30.897099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2762538.8%
 
3498925.4%
 
1310915.8%
 
416018.2%
 
510065.1%
 
75212.7%
 
62451.2%
 
14910.5%
 
10870.4%
 
30640.3%
 
Other values (53)2971.5%
 
ValueCountFrequency (%) 
1310915.8%
 
2762538.8%
 
3498925.4%
 
416018.2%
 
510065.1%
 
ValueCountFrequency (%) 
10011< 0.1%
 
10001< 0.1%
 
9991< 0.1%
 
5001< 0.1%
 
3652< 0.1%
 

maximum_nights
Real number (ℝ≥0)

Distinct139
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean615.3850267
Minimum1
Maximum11250
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:31.018915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q120
median1125
Q31125
95-th percentile1125
Maximum11250
Range11249
Interquartile range (IQR)1105

Descriptive statistics

Standard deviation548.5281498
Coefficient of variation (CV)0.8913576477
Kurtosis5.20448002
Mean615.3850267
Median Absolute Deviation (MAD)0
Skewness0.2313909737
Sum12083085
Variance300883.1312
MonotocityNot monotonic
2020-10-29T17:13:31.130612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11251004651.2%
 
3014807.5%
 
149574.9%
 
78574.4%
 
105082.6%
 
214792.4%
 
3654232.2%
 
604172.1%
 
53601.8%
 
203591.8%
 
Other values (129)374919.1%
 
ValueCountFrequency (%) 
1280.1%
 
21340.7%
 
32381.2%
 
42901.5%
 
53601.8%
 
ValueCountFrequency (%) 
112501< 0.1%
 
18253< 0.1%
 
11261< 0.1%
 
11251004651.2%
 
11242601.3%
 

calendar_updated
Categorical

HIGH CARDINALITY

Distinct81
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
today
1431 
2 weeks ago
 
1242
2 months ago
 
1182
3 months ago
 
948
3 weeks ago
 
889
Other values (76)
13943 
ValueCountFrequency (%) 
today14317.3%
 
2 weeks ago12426.3%
 
2 months ago11826.0%
 
3 months ago9484.8%
 
3 weeks ago8894.5%
 
a week ago8244.2%
 
4 weeks ago7103.6%
 
yesterday5873.0%
 
4 months ago5752.9%
 
6 months ago5602.9%
 
Other values (71)1068754.4%
 
2020-10-29T17:13:31.260855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
2020-10-29T17:13:32.030343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length13
Median length12
Mean length11.24441049
Min length5

availability_30
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct31
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.560937102
Minimum0
Maximum30
Zeros13283
Zeros (%)67.6%
Memory size153.4 KiB
2020-10-29T17:13:32.132702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile25
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.306954463
Coefficient of variation (CV)1.821326249
Kurtosis1.721264152
Mean4.560937102
Median Absolute Deviation (MAD)0
Skewness1.73483416
Sum89554
Variance69.00549245
MonotocityNot monotonic
2020-10-29T17:13:32.229287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
01328367.6%
 
33781.9%
 
13231.6%
 
22961.5%
 
302801.4%
 
182471.3%
 
122461.3%
 
42401.2%
 
142301.2%
 
162291.2%
 
Other values (21)388319.8%
 
ValueCountFrequency (%) 
01328367.6%
 
13231.6%
 
22961.5%
 
33781.9%
 
42401.2%
 
ValueCountFrequency (%) 
302801.4%
 
291891.0%
 
281650.8%
 
271490.8%
 
261330.7%
 

availability_60
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct61
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.576623377
Minimum0
Maximum60
Zeros12138
Zeros (%)61.8%
Memory size153.4 KiB
2020-10-29T17:13:32.339050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile47
Maximum60
Range60
Interquartile range (IQR)11

Descriptive statistics

Standard deviation15.39753593
Coefficient of variation (CV)1.795291137
Kurtosis2.549646853
Mean8.576623377
Median Absolute Deviation (MAD)0
Skewness1.887050242
Sum168402
Variance237.0841128
MonotocityNot monotonic
2020-10-29T17:13:32.451395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01213861.8%
 
33271.7%
 
13261.7%
 
43221.6%
 
23121.6%
 
52821.4%
 
62291.2%
 
72051.0%
 
601941.0%
 
91921.0%
 
Other values (51)510826.0%
 
ValueCountFrequency (%) 
01213861.8%
 
13261.7%
 
23121.6%
 
33271.7%
 
43221.6%
 
ValueCountFrequency (%) 
601941.0%
 
591210.6%
 
58920.5%
 
57720.4%
 
56470.2%
 

availability_90
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct91
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.02556659
Minimum0
Maximum90
Zeros11742
Zeros (%)59.8%
Memory size153.4 KiB
2020-10-29T17:13:32.570524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile72
Maximum90
Range90
Interquartile range (IQR)15

Descriptive statistics

Standard deviation23.51557427
Coefficient of variation (CV)1.805339837
Kurtosis2.536341086
Mean13.02556659
Median Absolute Deviation (MAD)0
Skewness1.902292584
Sum255757
Variance552.9822331
MonotocityNot monotonic
2020-10-29T17:13:32.681842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01174259.8%
 
43011.5%
 
32951.5%
 
12941.5%
 
22741.4%
 
52481.3%
 
62181.1%
 
112011.0%
 
71911.0%
 
901840.9%
 
Other values (81)568729.0%
 
ValueCountFrequency (%) 
01174259.8%
 
12941.5%
 
22741.4%
 
32951.5%
 
43011.5%
 
ValueCountFrequency (%) 
901840.9%
 
891100.6%
 
88800.4%
 
87670.3%
 
86400.2%
 

availability_365
Real number (ℝ≥0)

ZEROS

Distinct366
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.30720652
Minimum0
Maximum365
Zeros10627
Zeros (%)54.1%
Memory size153.4 KiB
2020-10-29T17:13:32.796020image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q349
95-th percentile298
Maximum365
Range365
Interquartile range (IQR)49

Descriptive statistics

Standard deviation93.18904152
Coefficient of variation (CV)1.88996798
Kurtosis3.20995333
Mean49.30720652
Median Absolute Deviation (MAD)0
Skewness2.078582753
Sum968147
Variance8684.19746
MonotocityNot monotonic
2020-10-29T17:13:32.911228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01062754.1%
 
42211.1%
 
32201.1%
 
722161.1%
 
12141.1%
 
51871.0%
 
21850.9%
 
61690.9%
 
91610.8%
 
111520.8%
 
Other values (356)728337.1%
 
ValueCountFrequency (%) 
01062754.1%
 
12141.1%
 
21850.9%
 
32201.1%
 
42211.1%
 
ValueCountFrequency (%) 
3651030.5%
 
364490.2%
 
363230.1%
 
362290.1%
 
361180.1%
 

number_of_reviews
Real number (ℝ≥0)

ZEROS

Distinct427
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.40524573
Minimum0
Maximum839
Zeros2253
Zeros (%)11.5%
Memory size153.4 KiB
2020-10-29T17:13:33.035487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q324
95-th percentile106
Maximum839
Range839
Interquartile range (IQR)21

Descriptive statistics

Standard deviation54.14055577
Coefficient of variation (CV)2.131077823
Kurtosis37.30704495
Mean25.40524573
Median Absolute Deviation (MAD)8
Skewness5.245036633
Sum498832
Variance2931.199779
MonotocityNot monotonic
2020-10-29T17:13:33.145263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0225311.5%
 
114277.3%
 
211996.1%
 
310665.4%
 
48914.5%
 
57994.1%
 
67443.8%
 
76673.4%
 
105913.0%
 
85782.9%
 
Other values (417)942048.0%
 
ValueCountFrequency (%) 
0225311.5%
 
114277.3%
 
211996.1%
 
310665.4%
 
48914.5%
 
ValueCountFrequency (%) 
8391< 0.1%
 
7591< 0.1%
 
7521< 0.1%
 
6981< 0.1%
 
6601< 0.1%
 

number_of_reviews_ltm
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct129
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.950343774
Minimum0
Maximum541
Zeros8040
Zeros (%)40.9%
Memory size153.4 KiB
2020-10-29T17:13:33.255674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile39
Maximum541
Range541
Interquartile range (IQR)6

Descriptive statistics

Standard deviation15.55477525
Coefficient of variation (CV)2.237986459
Kurtosis107.8214773
Mean6.950343774
Median Absolute Deviation (MAD)2
Skewness6.382316091
Sum136470
Variance241.9510332
MonotocityNot monotonic
2020-10-29T17:13:33.377255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0804040.9%
 
115477.9%
 
213016.6%
 
311575.9%
 
410205.2%
 
58844.5%
 
68294.2%
 
75792.9%
 
85042.6%
 
94162.1%
 
Other values (119)335817.1%
 
ValueCountFrequency (%) 
0804040.9%
 
115477.9%
 
213016.6%
 
311575.9%
 
410205.2%
 
ValueCountFrequency (%) 
5411< 0.1%
 
3711< 0.1%
 
2791< 0.1%
 
2671< 0.1%
 
1691< 0.1%
 

first_review
Categorical

HIGH CARDINALITY
MISSING

Distinct2449
Distinct (%)14.1%
Missing2253
Missing (%)11.5%
Memory size153.4 KiB
2016-03-30
 
70
2017-04-17
 
68
2016-05-08
 
65
2018-04-02
 
61
2016-01-03
 
61
Other values (2444)
17057 
ValueCountFrequency (%) 
2016-03-30700.4%
 
2017-04-17680.3%
 
2016-05-08650.3%
 
2018-04-02610.3%
 
2016-01-03610.3%
 
2020-01-02570.3%
 
2017-01-01530.3%
 
2016-08-08530.3%
 
2016-01-02520.3%
 
2017-01-02520.3%
 
Other values (2439)1679085.5%
 
(Missing)225311.5%
 
2020-10-29T17:13:33.519340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique440 ?
Unique (%)2.5%
2020-10-29T17:13:33.635219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length9.196791444
Min length3

last_review
Categorical

HIGH CARDINALITY
MISSING

Distinct1552
Distinct (%)8.9%
Missing2253
Missing (%)11.5%
Memory size153.4 KiB
2020-03-08
 
403
2020-01-02
 
379
2020-02-16
 
340
2020-02-23
 
326
2020-01-01
 
278
Other values (1547)
15656 
ValueCountFrequency (%) 
2020-03-084032.1%
 
2020-01-023791.9%
 
2020-02-163401.7%
 
2020-02-233261.7%
 
2020-01-012781.4%
 
2020-03-012361.2%
 
2020-01-032101.1%
 
2020-02-241921.0%
 
2019-10-201881.0%
 
2020-03-091760.9%
 
Other values (1542)1465474.6%
 
(Missing)225311.5%
 
2020-10-29T17:13:33.758474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique307 ?
Unique (%)1.8%
2020-10-29T17:13:33.875244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length9.196791444
Min length3

review_scores_rating
Real number (ℝ≥0)

MISSING

Distinct48
Distinct (%)0.3%
Missing2478
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean95.22294107
Minimum20
Maximum100
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:33.981091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile83
Q193
median97
Q3100
95-th percentile100
Maximum100
Range80
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.569783636
Coefficient of variation (CV)0.06899370637
Kurtosis25.81118988
Mean95.22294107
Median Absolute Deviation (MAD)3
Skewness-3.753178065
Sum1633740
Variance43.16205703
MonotocityNot monotonic
2020-10-29T17:13:34.097681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
100505425.7%
 
9817789.1%
 
9714677.5%
 
9613616.9%
 
9511125.7%
 
9910935.6%
 
9310335.3%
 
947303.7%
 
907123.6%
 
924982.5%
 
Other values (38)231911.8%
 
(Missing)247812.6%
 
ValueCountFrequency (%) 
20150.1%
 
301< 0.1%
 
40190.1%
 
471< 0.1%
 
481< 0.1%
 
ValueCountFrequency (%) 
100505425.7%
 
9910935.6%
 
9817789.1%
 
9714677.5%
 
9613616.9%
 

review_scores_accuracy
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing2489
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean9.705179051
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:34.200223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6842254638
Coefficient of variation (CV)0.07050106549
Kurtosis30.85946827
Mean9.705179051
Median Absolute Deviation (MAD)0
Skewness-4.319161438
Sum166405
Variance0.4681644853
MonotocityNot monotonic
2020-10-29T17:13:34.280956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
101327567.6%
 
9316416.1%
 
85052.6%
 
7760.4%
 
6640.3%
 
4260.1%
 
2190.1%
 
5150.1%
 
32< 0.1%
 
(Missing)248912.7%
 
ValueCountFrequency (%) 
2190.1%
 
32< 0.1%
 
4260.1%
 
5150.1%
 
6640.3%
 
ValueCountFrequency (%) 
101327567.6%
 
9316416.1%
 
85052.6%
 
7760.4%
 
6640.3%
 

review_scores_cleanliness
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing2487
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean9.483846513
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:34.370088image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8657652754
Coefficient of variation (CV)0.09128841069
Kurtosis15.68296841
Mean9.483846513
Median Absolute Deviation (MAD)0
Skewness-3.024395259
Sum162629
Variance0.7495495121
MonotocityNot monotonic
2020-10-29T17:13:34.455412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
101076654.8%
 
9481224.5%
 
811275.7%
 
72141.1%
 
61380.7%
 
4360.2%
 
2320.2%
 
5210.1%
 
32< 0.1%
 
(Missing)248712.7%
 
ValueCountFrequency (%) 
2320.2%
 
32< 0.1%
 
4360.2%
 
5210.1%
 
61380.7%
 
ValueCountFrequency (%) 
101076654.8%
 
9481224.5%
 
811275.7%
 
72141.1%
 
61380.7%
 

review_scores_checkin
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing2497
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean9.76531684
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:34.546921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6234090718
Coefficient of variation (CV)0.06383910344
Kurtosis35.0073281
Mean9.76531684
Median Absolute Deviation (MAD)0
Skewness-4.617490111
Sum167358
Variance0.3886388708
MonotocityNot monotonic
2020-10-29T17:13:34.633144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
101412671.9%
 
9238712.2%
 
84352.2%
 
7870.4%
 
6710.4%
 
2160.1%
 
4100.1%
 
55< 0.1%
 
31< 0.1%
 
(Missing)249712.7%
 
ValueCountFrequency (%) 
2160.1%
 
31< 0.1%
 
4100.1%
 
55< 0.1%
 
6710.4%
 
ValueCountFrequency (%) 
101412671.9%
 
9238712.2%
 
84352.2%
 
7870.4%
 
6710.4%
 

review_scores_communication
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing2489
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean9.807768576
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:34.732950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5945413806
Coefficient of variation (CV)0.06061943407
Kurtosis52.92387574
Mean9.807768576
Median Absolute Deviation (MAD)0
Skewness-5.786483094
Sum168164
Variance0.3534794532
MonotocityNot monotonic
2020-10-29T17:13:34.818783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
101470574.9%
 
919529.9%
 
83331.7%
 
7650.3%
 
6530.3%
 
2220.1%
 
4110.1%
 
53< 0.1%
 
32< 0.1%
 
(Missing)248912.7%
 
ValueCountFrequency (%) 
2220.1%
 
32< 0.1%
 
4110.1%
 
53< 0.1%
 
6530.3%
 
ValueCountFrequency (%) 
101470574.9%
 
919529.9%
 
83331.7%
 
7650.3%
 
6530.3%
 

review_scores_location
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing2495
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean9.514935823
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:34.908290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6903930303
Coefficient of variation (CV)0.07255887409
Kurtosis8.376341691
Mean9.514935823
Median Absolute Deviation (MAD)0
Skewness-1.992113979
Sum163086
Variance0.4766425363
MonotocityNot monotonic
2020-10-29T17:13:34.994995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
101024052.2%
 
9581529.6%
 
88924.5%
 
6930.5%
 
7880.4%
 
25< 0.1%
 
44< 0.1%
 
53< 0.1%
 
(Missing)249512.7%
 
ValueCountFrequency (%) 
25< 0.1%
 
44< 0.1%
 
53< 0.1%
 
6930.5%
 
7880.4%
 
ValueCountFrequency (%) 
101024052.2%
 
9581529.6%
 
88924.5%
 
7880.4%
 
6930.5%
 

review_scores_value
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing2495
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean9.202567095
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:35.086493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q19
median9
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8003546332
Coefficient of variation (CV)0.08697080118
Kurtosis11.88410479
Mean9.202567095
Median Absolute Deviation (MAD)0
Skewness-2.129366989
Sum157732
Variance0.6405675388
MonotocityNot monotonic
2020-10-29T17:13:35.164764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
9891345.4%
 
10620931.6%
 
816408.4%
 
71911.0%
 
61250.6%
 
4280.1%
 
2200.1%
 
5120.1%
 
32< 0.1%
 
(Missing)249512.7%
 
ValueCountFrequency (%) 
2200.1%
 
32< 0.1%
 
4280.1%
 
5120.1%
 
61250.6%
 
ValueCountFrequency (%) 
10620931.6%
 
9891345.4%
 
816408.4%
 
71911.0%
 
61250.6%
 

requires_license
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
f
19635 
ValueCountFrequency (%) 
f19635100.0%
 
2020-10-29T17:13:35.255587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-29T17:13:35.310644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:35.368794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
f
14511 
t
5124 
ValueCountFrequency (%) 
f1451173.9%
 
t512426.1%
 
2020-10-29T17:13:35.426897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
strict_14_with_grace_period
7818 
moderate
7029 
flexible
4707 
super_strict_60
 
52
super_strict_30
 
29
ValueCountFrequency (%) 
strict_14_with_grace_period781839.8%
 
moderate702935.8%
 
flexible470724.0%
 
super_strict_60520.3%
 
super_strict_30290.1%
 
2020-10-29T17:13:35.500788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-29T17:13:35.573153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:35.669123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length27
Median length8
Mean length15.59404125
Min length8
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
f
19432 
t
 
203
ValueCountFrequency (%) 
f1943299.0%
 
t2031.0%
 
2020-10-29T17:13:35.736778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size153.4 KiB
f
19375 
t
 
260
ValueCountFrequency (%) 
f1937598.7%
 
t2601.3%
 
2020-10-29T17:13:35.771573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

reviews_per_month
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct735
Distinct (%)4.2%
Missing2253
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean0.8956334139
Minimum0.01
Maximum60.79
Zeros0
Zeros (%)0.0%
Memory size153.4 KiB
2020-10-29T17:13:35.846695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.05
Q10.2
median0.46
Q30.94
95-th percentile3.75
Maximum60.79
Range60.78
Interquartile range (IQR)0.74

Descriptive statistics

Standard deviation1.424553111
Coefficient of variation (CV)1.590553779
Kurtosis247.6482297
Mean0.8956334139
Median Absolute Deviation (MAD)0.31
Skewness8.969070935
Sum15567.9
Variance2.029351566
MonotocityNot monotonic
2020-10-29T17:13:35.958959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.023321.7%
 
0.072981.5%
 
0.092691.4%
 
0.042691.4%
 
0.132601.3%
 
0.052581.3%
 
0.152411.2%
 
0.112391.2%
 
0.142331.2%
 
0.062321.2%
 
Other values (725)1475175.1%
 
(Missing)225311.5%
 
ValueCountFrequency (%) 
0.01100.1%
 
0.023321.7%
 
0.031971.0%
 
0.042691.4%
 
0.052581.3%
 
ValueCountFrequency (%) 
60.791< 0.1%
 
42.161< 0.1%
 
32.31< 0.1%
 
22.851< 0.1%
 
22.431< 0.1%
 

Interactions

2020-10-29T17:12:14.849701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:14.970015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.067533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.164602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.257297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.357996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.458114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.655798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.765679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.862143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:15.963490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.062131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.170539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.274739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.379483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.474323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.576140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.679270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.781556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.883949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:16.991940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.093049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.197850image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.303795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.407394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.510773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.604609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.698988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.789367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.881538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:17.970496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.066174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.162363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.251939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.341158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.428899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.522955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.614667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.710170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.801120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:18.999449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.104875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.199328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.293979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.387993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.511081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.643198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.752845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.852871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:12:19.952102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-10-29T17:13:22.065991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.146741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.234953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.322192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.411335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.507851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.601607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.689778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.784262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.877143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:22.968404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:23.061133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-10-29T17:13:36.099485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-29T17:13:36.381328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-29T17:13:36.660052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-29T17:13:36.959642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-10-29T17:13:37.266631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-10-29T17:13:23.413358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:24.880323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:25.405177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-10-29T17:13:25.819700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

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028183159Indische BuurtNaN52.365754.94142fApartmentPrivate room21.51.02.0Real Bed{Internet,Wifi,"Paid parking off premises","Buzzer/wireless intercom",Heating,Washer,"Smoke detector","Carbon monoxide detector","First aid kit","Safety card","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door","24-hour check-in",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50","Private entrance","Hot water","Bed linens","Extra pillows and blankets","Ethernet connection","Coffee maker",Refrigerator,"Single level home","Garden or backyard","Host greets you","Paid parking on premises","Trash can"}NaN$59.00$200.00$60.001$20.003152 weeks ago17326281278282009-03-302020-02-1498.010.010.010.010.09.010.0ftstrict_14_with_grace_periodff2.08
12016859484Grachtengordel101752.365094.89354tTownhousePrivate room21.01.01.0Real Bed{TV,Internet,Wifi,"Paid parking off premises","Free street parking",Heating,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Hangers,"Hair dryer","Laptop friendly workspace","translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50","Hot water","Bed linens",Refrigerator,"Long term stays allowed","Host greets you"}NaN$100.00NaNNaN2$0.001365today62252164331742010-03-022020-03-1189.010.010.010.010.010.09.0ftstrict_14_with_grace_periodff2.71
22542856142Grachtengordel101652.372974.88339fApartmentEntire home/apt31.01.01.0Real Bed{TV,"Cable TV",Internet,Wifi,Kitchen,Elevator,"Indoor fireplace","Buzzer/wireless intercom",Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens","Extra pillows and blankets",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Long term stays allowed"}NaN$125.00$300.00$40.002$10.0014602 months ago01922132532018-01-212020-02-09100.010.010.010.010.010.010.0ffstrict_14_with_grace_periodff0.19
32788697647Westelijke Eilanden101352.387614.89188tHouseboatPrivate room21.51.02.0Real Bed{TV,Internet,Wifi,Breakfast,Heating,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer","Laptop friendly workspace","translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50","Self check-in","Smart lock","Private living room","Private entrance","Hot water","Coffee maker",Refrigerator,"Dishes and silverware","Patio or balcony","Lake access"}NaN$155.00$0.00$0.001$0.0027304 days ago41111151217362012-01-092020-03-0299.010.010.010.010.010.010.0ftstrict_14_with_grace_periodff2.18
428871124245Amsterdam Centrum101752.367194.89092tApartmentPrivate room21.01.01.0Real Bed{Internet,Wifi,"Pets live on this property",Cat(s),Heating,Dryer,"Smoke detector","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer","Private entrance","Hot water",Refrigerator,"Host greets you"}NaN$75.00NaNNaN1$0.00218256 weeks ago182426146329842010-08-222020-03-0197.010.010.010.010.010.09.0ffmoderateff2.83
529051124245Amsterdam Centrum101752.367734.89151tApartmentPrivate room11.01.01.0Real Bed{Internet,Wifi,"Smoking allowed","Pets allowed",Heating,"Smoke detector","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50","Private entrance","Hot water","Bed linens","Coffee maker",Refrigerator,"Host greets you","Shower gel"}NaN$55.00NaNNaN1$0.002730yesterday61516179478802011-03-162020-03-0895.010.010.010.010.010.09.0ffmoderateff4.36
631080133488Hoofddorppleinbuurt105952.351324.84838fApartmentEntire home/apt41.03.03.0Real Bed{TV,"Cable TV",Internet,Wifi,Kitchen,"Buzzer/wireless intercom",Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,"translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Patio or balcony","Host greets you"}NaN$219.00NaN$60.004$30.00336515 months ago000703202011-08-062017-10-1695.09.010.010.010.09.09.0ffmoderateff0.31
741125178515Jordaan101552.378914.88321fApartmentEntire home/apt31.01.01.0Real Bed{TV,"Cable TV",Internet,Wifi,Kitchen,"Paid parking off premises","Buzzer/wireless intercom",Heating,Washer,Dryer,"Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","translation missing: en.hosting_amenity_49","translation missing: en.hosting_amenity_50","Self check-in",Keypad,"Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Patio or balcony","Luggage dropoff allowed"}NaN$180.00$100.00$40.002$45.00435yesterday6772389122010-11-252020-02-1096.010.010.010.010.010.09.0ffmoderateff0.79
842970187580Amsterdam Centrum101252.367814.89001tBed and breakfastHotel room21.01.01.0Real Bed{TV,"Cable TV",Internet,Wifi,Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","translation missing: en.hosting_amenity_49","Private entrance","Baby bath"}NaN$159.00$300.00$35.001$0.00311004 weeks ago61116145471342010-09-062020-02-2698.010.010.010.010.010.09.0ftstrict_14_with_grace_periodft4.06
946386207342Oud-Zuid1074 VM52.352474.90825tApartmentEntire home/apt21.01.01.0Real Bed{TV,"Cable TV",Internet,Wifi,Kitchen,"Pets allowed","Buzzer/wireless intercom",Heating,"Smoke detector",Essentials,Shampoo,Hangers,Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"EV charger","Patio or balcony","Long term stays allowed"}721.0$150.00$250.00$50.002$50.003182527 months ago0000302010-09-162018-01-0393.010.09.09.09.08.08.0ffflexibleff0.03

Last rows

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1962542870295340475366Oud-West1053 DP52.3668004.870790tApartmentEntire home/apt41.00.01.0Real Bed{TV,Wifi,Kitchen,"Pets allowed",Heating,Washer,Dryer,"Smoke detector",Essentials,Shampoo,Hangers,"Hair dryer","Laptop friendly workspace"}NaN$160.00$0.00$70.002$50.0011125yesterday27578717700NaNNaNNaNNaNNaNNaNNaNNaNNaNffstrict_14_with_grace_periodffNaN
1962642873652337073853Frederik Hendrikbuurt1052 GS52.3775904.875030tApartmentEntire home/apt21.02.02.0Real Bed{TV,Wifi,Kitchen,"Pets allowed",Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"}NaN$150.00NaNNaN1$0.0021125yesterday222200NaNNaNNaNNaNNaNNaNNaNNaNNaNftflexibleffNaN
19627428755177594884Zeeburg1019 DX52.3677004.949900tApartmentEntire home/apt41.03.05.0Real Bed{TV,"Cable TV",Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Hangers,"Hair dryer","Laptop friendly workspace","Private entrance",Bathtub,"Children’s books and toys","Window guards","Pack ’n Play/travel crib","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware",Oven,Stove,"Patio or balcony","Garden or backyard","Wide hallways","Wide entrance for guests","Flat path to guest entrance","Well-lit path to entrance"}NaN$555.00$0.00$55.001$0.00145yesterday000000NaNNaNNaNNaNNaNNaNNaNNaNNaNftstrict_14_with_grace_periodffNaN
1962842878916341432744Grachtengordel1012 SR52.3783404.890830tTownhousePrivate room21.01.0NaNReal Bed{Wifi,Heating,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer","Private entrance"}NaN$110.00NaNNaN1$0.00210yesterday24548435900NaNNaNNaNNaNNaNNaNNaNNaNNaNftflexibleffNaN
1962942884889341483959Grachtengordel1017 JW52.3655824.885191tApartmentEntire home/apt52.02.03.0Real Bed{TV,Wifi,"Air conditioning",Pool,Kitchen,"Free parking on premises",Gym,Essentials}NaN$185.00NaNNaN1$0.0021125today23518135600NaNNaNNaNNaNNaNNaNNaNNaNNaNffflexibleffNaN
1963042886432317091588Grachtengordel1012 MC52.3762224.896972fApartmentPrivate room41.01.02.0Real Bed{Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer","Laptop friendly workspace"}NaN$100.00$0.00$25.002$40.0021125today1224272700NaNNaNNaNNaNNaNNaNNaNNaNNaNftstrict_14_with_grace_periodffNaN
1963142888420151116751Amsterdam Centrum1012 VH52.3761474.891434tApartmentEntire home/apt41.52.02.0Real Bed{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,"Lock on bedroom door",Hangers,"Hair dryer",Iron,"Private entrance"}NaN$495.00NaNNaN1$0.0031125never30609036500NaNNaNNaNNaNNaNNaNNaNNaNNaNftflexibleffNaN
1963242888759112682186Bos en Lommer1055 LT52.3797984.857023tApartmentEntire home/apt21.01.0NaNReal Bed{Wifi,Kitchen,Heating,Essentials,Shampoo,"Lock on bedroom door","Hair dryer","Private entrance"}NaN$70.00NaNNaN1$0.0021125never222200NaNNaNNaNNaNNaNNaNNaNNaNNaNffflexibleffNaN
1963342889001341510886Slotervaart1066 HA52.3420374.822708tCondominiumPrivate room11.01.0NaNReal Bed{TV,Wifi,"Air conditioning",Kitchen,"Free parking on premises","Pets allowed",Gym,Breakfast,Heating,Washer,Dryer,Essentials,Shampoo,"Hair dryer",Iron,"Private living room","Private entrance"}NaN$95.00NaNNaN1$0.0021125today23538335800NaNNaNNaNNaNNaNNaNNaNNaNNaNftflexibleffNaN
1963442889614341514376Bos en Lommer1056 XH52.3773354.861110tApartmentPrivate room11.01.0NaNReal Bed{TV,Wifi,"Air conditioning",Kitchen,Heating,Essentials,Shampoo,"Hair dryer",Iron,"Laptop friendly workspace"}NaN$50.00NaNNaN1$0.0011125today12427234700NaNNaNNaNNaNNaNNaNNaNNaNNaNftflexibleffNaN